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arXiv 1801.02587math.PR
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马尔可夫链的猝灭幻影分布函数

Quenched phantom distribution functions for Markov chains

Adam Jakubowski, Patryk Truszczyński

摘要:

众所周知,具有重尾目标密度的随机游动Metropolis算法可以模拟极大值的非典型(缓慢)增长,这通常由具有极值指数为零的过程表现出来。这种序列的最大值的渐近性可以用连续的体模分布函数来分析。我们表明,在一个大类的积极哈里斯经常性马尔可夫链(包含上述大都会链)的幻影分布函数可以恢复开始“在点”,而不是从平稳分布。

英文摘要:

It is known that random walk Metropolis algorithms with heavy-tailed target densities can model atypical (slow) growth of maxima, which in general is exhibited by processes with the extremal index zero. The asymptotics of maxima of such sequences can be analyzed in terms of continuous phantom distribution functions. We show that in a large class of positive Harris recurrent Markov chains (containing the above Metropolis chains) a phantom distribution function can be recovered by starting "at the point" rather than from the stationary distribution.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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